Overview

Brought to you by YData

Dataset statistics

Number of variables	31
Number of observations	11490
Missing cells	270587
Missing cells (%)	76.0%
Duplicate rows	71
Duplicate rows (%)	0.6%
Total size in memory	2.8 MiB
Average record size in memory	256.0 B

Variable types

Numeric	13
Categorical	8
DateTime	3
Text	7

Alerts

`Category` has constant value "Sports"	Constant
Dataset has 71 (0.6%) duplicate rows	Duplicates
`EngagementID` has 6867 (59.8%) missing values	Missing
`ContentID` has 6867 (59.8%) missing values	Missing
`ContentType` has 6867 (59.8%) missing values	Missing
`Likes` has 6867 (59.8%) missing values	Missing
`EngagementDate` has 6867 (59.8%) missing values	Missing
`CampaignID` has 6867 (59.8%) missing values	Missing
`ViewsClicksCombined` has 6867 (59.8%) missing values	Missing
`JourneyID` has 7479 (65.1%) missing values	Missing
`CustomerID` has 4653 (40.5%) missing values	Missing
`VisitDate` has 7479 (65.1%) missing values	Missing
`Stage` has 7479 (65.1%) missing values	Missing
`Action` has 7479 (65.1%) missing values	Missing
`Duration` has 8092 (70.4%) missing values	Missing
`CustomerName` has 11390 (99.1%) missing values	Missing
`Email` has 11390 (99.1%) missing values	Missing
`Gender` has 11390 (99.1%) missing values	Missing
`Age` has 11390 (99.1%) missing values	Missing
`GeographyID` has 11380 (99.0%) missing values	Missing
`ReviewID` has 8764 (76.3%) missing values	Missing
`ReviewDate` has 8764 (76.3%) missing values	Missing
`Rating` has 8764 (76.3%) missing values	Missing
`ReviewText` has 8764 (76.3%) missing values	Missing
`ProductName` has 11470 (99.8%) missing values	Missing
`Category` has 11470 (99.8%) missing values	Missing
`Price` has 11470 (99.8%) missing values	Missing
`SentimentScore` has 10127 (88.1%) missing values	Missing
`SentimentCategory` has 10127 (88.1%) missing values	Missing
`SentimentBucket` has 10127 (88.1%) missing values	Missing
`Country` has 11480 (99.9%) missing values	Missing
`City` has 11480 (99.9%) missing values	Missing
`EngagementID` is uniformly distributed	Uniform
`JourneyID` is uniformly distributed	Uniform
`ReviewID` is uniformly distributed	Uniform
`Likes` has 728 (6.3%) zeros	Zeros
`SentimentScore` has 442 (3.8%) zeros	Zeros

Reproduction

Analysis started	2024-12-18 23:40:08.906229
Analysis finished	2024-12-19 01:45:32.564470
Duration	2 hours, 5 minutes and 23.66 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

EngagementID
Real number (ℝ)

Missing Uniform

Distinct	4623
Distinct (%)	100.0%
Missing	6867
Missing (%)	59.8%
Infinite	0
Infinite (%)	0.0%
Mean	2312

Minimum	1
Maximum	4623
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	1
5-th percentile	232.1
Q1	1156.5
median	2312
Q3	3467.5
95-th percentile	4391.9
Maximum	4623
Range	4622
Interquartile range (IQR)	2311

Descriptive statistics

Standard deviation	1334.6895
Coefficient of variation (CV)	0.57728784
Kurtosis	-1.2
Mean	2312
Median Absolute Deviation (MAD)	1156
Skewness	0
Sum	10688376
Variance	1781396
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3036	1	< 0.1%
3088	1	< 0.1%
3087	1	< 0.1%
3086	1	< 0.1%
3085	1	< 0.1%
3084	1	< 0.1%
3083	1	< 0.1%
3082	1	< 0.1%
3081	1	< 0.1%
3080	1	< 0.1%
Other values (4613)	4613	40.1%
(Missing)	6867	59.8%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
4623	1	< 0.1%
4622	1	< 0.1%
4621	1	< 0.1%
4620	1	< 0.1%
4619	1	< 0.1%
4618	1	< 0.1%
4617	1	< 0.1%
4616	1	< 0.1%
4615	1	< 0.1%
4614	1	< 0.1%

ContentID
Real number (ℝ)

Missing

Distinct	50
Distinct (%)	1.1%
Missing	6867
Missing (%)	59.8%
Infinite	0
Infinite (%)	0.0%
Mean	25.42613

Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	13
median	25
Q3	38
95-th percentile	48
Maximum	50
Range	49
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	14.292613
Coefficient of variation (CV)	0.56212301
Kurtosis	-1.1925765
Mean	25.42613
Median Absolute Deviation (MAD)	12
Skewness	-0.0043063646
Sum	117545
Variance	204.27878
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	114	1.0%
35	108	0.9%
39	105	0.9%
15	104	0.9%
41	103	0.9%
37	103	0.9%
32	102	0.9%
46	102	0.9%
14	102	0.9%
21	101	0.9%
Other values (40)	3579	31.1%
(Missing)	6867	59.8%

Value	Count	Frequency (%)
1	88	0.8%
2	83	0.7%
3	96	0.8%
4	114	1.0%
5	80	0.7%
6	83	0.7%
7	97	0.8%
8	87	0.8%
9	85	0.7%
10	90	0.8%

Value	Count	Frequency (%)
50	70	0.6%
49	93	0.8%
48	90	0.8%
47	85	0.7%
46	102	0.9%
45	93	0.8%
44	99	0.9%
43	78	0.7%
42	68	0.6%
41	103	0.9%

ContentType
Categorical

Missing

Distinct	12
Distinct (%)	0.3%
Missing	6867
Missing (%)	59.8%
Memory size	179.5 KiB

Socialmedia	534
Blog	519
Newsletter	511
Video	510
blog	416
Other values (7)	2133

Length

Max length	11
Median length	10
Mean length	7.4806403
Min length	4

Characters and Unicode

Total characters	34583
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Blog
2nd row	Blog
3rd row	video
4th row	Video
5th row	newsletter

Common Values

Value	Count	Frequency (%)
Socialmedia	534	4.6%
Blog	519	4.5%
Newsletter	511	4.4%
Video	510	4.4%
blog	416	3.6%
socialmedia	384	3.3%
video	380	3.3%
newsletter	359	3.1%
SOCIALMEDIA	270	2.3%
VIDEO	261	2.3%
Other values (2)	479	4.2%
(Missing)	6867	59.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
socialmedia	1188	25.7%
blog	1180	25.5%
video	1151	24.9%
newsletter	1104	23.9%

Most occurring characters

Value	Count	Frequency (%)
e	4418	12.8%
o	2743	7.9%
i	2726	7.9%
l	2723	7.9%
a	1836	5.3%
d	1808	5.2%
t	1740	5.0%
s	1254	3.6%
E	1233	3.6%
S	1038	3.0%
Other values (22)	13064	37.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34583	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	4418	12.8%
o	2743	7.9%
i	2726	7.9%
l	2723	7.9%
a	1836	5.3%
d	1808	5.2%
t	1740	5.0%
s	1254	3.6%
E	1233	3.6%
S	1038	3.0%
Other values (22)	13064	37.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34583	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	4418	12.8%
o	2743	7.9%
i	2726	7.9%
l	2723	7.9%
a	1836	5.3%
d	1808	5.2%
t	1740	5.0%
s	1254	3.6%
E	1233	3.6%
S	1038	3.0%
Other values (22)	13064	37.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34583	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	4418	12.8%
o	2743	7.9%
i	2726	7.9%
l	2723	7.9%
a	1836	5.3%
d	1808	5.2%
t	1740	5.0%
s	1254	3.6%
E	1233	3.6%
S	1038	3.0%
Other values (22)	13064	37.8%

Likes
Real number (ℝ)

Missing Zeros

Distinct	640
Distinct (%)	13.8%
Missing	6867
Missing (%)	59.8%
Infinite	0
Infinite (%)	0.0%
Mean	114.36859

Minimum	0
Maximum	1977
Zeros	728
Zeros (%)	6.3%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	28
Q3	131
95-th percentile	517
Maximum	1977
Range	1977
Interquartile range (IQR)	128

Descriptive statistics

Standard deviation	205.08386
Coefficient of variation (CV)	1.7931834
Kurtosis	13.802193
Mean	114.36859
Median Absolute Deviation (MAD)	28
Skewness	3.268792
Sum	528726
Variance	42059.389
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	728	6.3%
1	238	2.1%
2	139	1.2%
4	99	0.9%
3	96	0.8%
5	89	0.8%
8	69	0.6%
7	68	0.6%
6	66	0.6%
10	56	0.5%
Other values (630)	2975	25.9%
(Missing)	6867	59.8%

Value	Count	Frequency (%)
0	728	6.3%
1	238	2.1%
2	139	1.2%
3	96	0.8%
4	99	0.9%
5	89	0.8%
6	66	0.6%
7	68	0.6%
8	69	0.6%
9	51	0.4%

Value	Count	Frequency (%)
1977	1	< 0.1%
1938	1	< 0.1%
1760	1	< 0.1%
1534	1	< 0.1%
1530	1	< 0.1%
1526	1	< 0.1%
1493	1	< 0.1%
1434	1	< 0.1%
1420	1	< 0.1%
1405	1	< 0.1%

EngagementDate
Date

Missing

Distinct	1085
Distinct (%)	23.5%
Missing	6867
Missing (%)	59.8%
Memory size	179.5 KiB

Minimum	2023-01-01 00:00:00
Maximum	2025-12-31 00:00:00

Histogram with fixed size bins (bins=50)

CampaignID
Real number (ℝ)

Missing

Distinct	20
Distinct (%)	0.4%
Missing	6867
Missing (%)	59.8%
Infinite	0
Infinite (%)	0.0%
Mean	10.660826

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	6
median	11
Q3	16
95-th percentile	20
Maximum	20
Range	19
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.7705698
Coefficient of variation (CV)	0.54128729
Kurtosis	-1.2130816
Mean	10.660826
Median Absolute Deviation (MAD)	5
Skewness	-0.033428625
Sum	49285
Variance	33.299475
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
15	266	2.3%
19	254	2.2%
7	245	2.1%
17	245	2.1%
13	240	2.1%
20	240	2.1%
11	237	2.1%
12	236	2.1%
3	233	2.0%
4	231	2.0%
Other values (10)	2196	19.1%
(Missing)	6867	59.8%

Value	Count	Frequency (%)
1	221	1.9%
2	210	1.8%
3	233	2.0%
4	231	2.0%
5	222	1.9%
6	231	2.0%
7	245	2.1%
8	224	1.9%
9	202	1.8%
10	219	1.9%

Value	Count	Frequency (%)
20	240	2.1%
19	254	2.2%
18	218	1.9%
17	245	2.1%
16	230	2.0%
15	266	2.3%
14	219	1.9%
13	240	2.1%
12	236	2.1%
11	237	2.1%

ProductID
Real number (ℝ)

Distinct	20
Distinct (%)	0.2%
Missing	110
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.416432

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	5
median	10
Q3	15
95-th percentile	20
Maximum	20
Range	19
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.7904462
Coefficient of variation (CV)	0.55589534
Kurtosis	-1.214684
Mean	10.416432
Median Absolute Deviation (MAD)	5
Skewness	0.018667501
Sum	118539
Variance	33.529267
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
16	608	5.3%
4	602	5.2%
2	596	5.2%
12	594	5.2%
5	594	5.2%
7	591	5.1%
1	590	5.1%
20	577	5.0%
15	571	5.0%
9	569	5.0%
Other values (10)	5488	47.8%

Value	Count	Frequency (%)
1	590	5.1%
2	596	5.2%
3	555	4.8%
4	602	5.2%
5	594	5.2%
6	564	4.9%
7	591	5.1%
8	535	4.7%
9	569	5.0%
10	556	4.8%

Value	Count	Frequency (%)
20	577	5.0%
19	564	4.9%
18	538	4.7%
17	540	4.7%
16	608	5.3%
15	571	5.0%
14	523	4.6%
13	563	4.9%
12	594	5.2%
11	550	4.8%

ViewsClicksCombined
Text

Missing

Distinct	4586
Distinct (%)	99.2%
Missing	6867
Missing (%)	59.8%
Memory size	179.5 KiB

Length

Max length	9
Median length	8
Mean length	7.3928185
Min length	4

Characters and Unicode

Total characters	34177
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4550 ?
Unique (%)	98.4%

Sample

1st row	1883-671
2nd row	5280-532
3rd row	1905-204
4th row	2766-257
5th row	5116-1524

Value	Count	Frequency (%)
226-10	3	0.1%
69-5	2	< 0.1%
10-0	2	< 0.1%
163-3	2	< 0.1%
602-11	2	< 0.1%
158-3	2	< 0.1%
928-38	2	< 0.1%
1159-155	2	< 0.1%
6837-2251	2	< 0.1%
27-0	2	< 0.1%
Other values (4576)	4602	99.5%

Most occurring characters

Value	Count	Frequency (%)
1	4625	13.5%
-	4623	13.5%
2	3709	10.9%
3	3167	9.3%
4	3007	8.8%
5	2795	8.2%
6	2630	7.7%
7	2526	7.4%
8	2465	7.2%
9	2377	7.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34177	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	4625	13.5%
-	4623	13.5%
2	3709	10.9%
3	3167	9.3%
4	3007	8.8%
5	2795	8.2%
6	2630	7.7%
7	2526	7.4%
8	2465	7.2%
9	2377	7.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34177	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	4625	13.5%
-	4623	13.5%
2	3709	10.9%
3	3167	9.3%
4	3007	8.8%
5	2795	8.2%
6	2630	7.7%
7	2526	7.4%
8	2465	7.2%
9	2377	7.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34177	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	4625	13.5%
-	4623	13.5%
2	3709	10.9%
3	3167	9.3%
4	3007	8.8%
5	2795	8.2%
6	2630	7.7%
7	2526	7.4%
8	2465	7.2%
9	2377	7.0%

JourneyID
Real number (ℝ)

Missing Uniform

Distinct	3932
Distinct (%)	98.0%
Missing	7479
Missing (%)	65.1%
Infinite	0
Infinite (%)	0.0%
Mean	1973.4538

Minimum	1
Maximum	3932
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	1
5-th percentile	198.5
Q1	986.5
median	1977
Q3	2958.5
95-th percentile	3739.5
Maximum	3932
Range	3931
Interquartile range (IQR)	1972

Descriptive statistics

Standard deviation	1137.1585
Coefficient of variation (CV)	0.57622757
Kurtosis	-1.2046707
Mean	1973.4538
Median Absolute Deviation (MAD)	986
Skewness	-0.0073827951
Sum	7915523
Variance	1293129.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
494	2	< 0.1%
3559	2	< 0.1%
404	2	< 0.1%
3531	2	< 0.1%
1592	2	< 0.1%
443	2	< 0.1%
1533	2	< 0.1%
520	2	< 0.1%
3609	2	< 0.1%
3401	2	< 0.1%
Other values (3922)	3991	34.7%
(Missing)	7479	65.1%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
3932	1	< 0.1%
3931	1	< 0.1%
3930	2	< 0.1%
3929	1	< 0.1%
3928	1	< 0.1%
3927	1	< 0.1%
3926	1	< 0.1%
3925	1	< 0.1%
3924	1	< 0.1%
3923	1	< 0.1%

CustomerID
Real number (ℝ)

Missing

Distinct	100
Distinct (%)	1.5%
Missing	4653
Missing (%)	40.5%
Infinite	0
Infinite (%)	0.0%
Mean	52.502413

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	28
median	53
Q3	78
95-th percentile	95
Maximum	100
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	28.463493
Coefficient of variation (CV)	0.54213686
Kurtosis	-1.188781
Mean	52.502413
Median Absolute Deviation (MAD)	25
Skewness	-0.082053873
Sum	358959
Variance	810.17045
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	105	0.9%
84	98	0.9%
93	91	0.8%
22	90	0.8%
92	86	0.7%
70	86	0.7%
82	85	0.7%
88	84	0.7%
24	84	0.7%
46	83	0.7%
Other values (90)	5945	51.7%
(Missing)	4653	40.5%

Value	Count	Frequency (%)
1	46	0.4%
2	61	0.5%
3	63	0.5%
4	59	0.5%
5	52	0.5%
6	77	0.7%
7	60	0.5%
8	62	0.5%
9	42	0.4%
10	65	0.6%

Value	Count	Frequency (%)
100	71	0.6%
99	61	0.5%
98	59	0.5%
97	61	0.5%
96	59	0.5%
95	74	0.6%
94	73	0.6%
93	91	0.8%
92	86	0.7%
91	69	0.6%

VisitDate
Date

Missing

Distinct	1065
Distinct (%)	26.6%
Missing	7479
Missing (%)	65.1%
Memory size	179.5 KiB

Minimum	2023-01-01 00:00:00
Maximum	2025-12-30 00:00:00

Histogram with fixed size bins (bins=50)

Stage
Categorical

Missing

Distinct	6
Distinct (%)	0.1%
Missing	7479
Missing (%)	65.1%
Memory size	179.5 KiB

Homepage	1692
ProductPage	1370
Checkout	748
homepage	85
productpage	74

Length

Max length	11
Median length	8
Mean length	9.0800299
Min length	8

Characters and Unicode

Total characters	36420
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Checkout
2nd row	Checkout
3rd row	ProductPage
4th row	Checkout
5th row	Homepage

Common Values

Value	Count	Frequency (%)
Homepage	1692	14.7%
ProductPage	1370	11.9%
Checkout	748	6.5%
homepage	85	0.7%
productpage	74	0.6%
checkout	42	0.4%
(Missing)	7479	65.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
homepage	1777	44.3%
productpage	1444	36.0%
checkout	790	19.7%

Most occurring characters

Value	Count	Frequency (%)
e	5788	15.9%
o	4011	11.0%
a	3221	8.8%
g	3221	8.8%
P	2740	7.5%
c	2276	6.2%
u	2234	6.1%
t	2234	6.1%
p	1925	5.3%
m	1777	4.9%
Other values (6)	6993	19.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36420	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5788	15.9%
o	4011	11.0%
a	3221	8.8%
g	3221	8.8%
P	2740	7.5%
c	2276	6.2%
u	2234	6.1%
t	2234	6.1%
p	1925	5.3%
m	1777	4.9%
Other values (6)	6993	19.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36420	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5788	15.9%
o	4011	11.0%
a	3221	8.8%
g	3221	8.8%
P	2740	7.5%
c	2276	6.2%
u	2234	6.1%
t	2234	6.1%
p	1925	5.3%
m	1777	4.9%
Other values (6)	6993	19.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36420	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5788	15.9%
o	4011	11.0%
a	3221	8.8%
g	3221	8.8%
P	2740	7.5%
c	2276	6.2%
u	2234	6.1%
t	2234	6.1%
p	1925	5.3%
m	1777	4.9%
Other values (6)	6993	19.2%

Action
Categorical

Missing

Distinct	4
Distinct (%)	0.1%
Missing	7479
Missing (%)	65.1%
Memory size	179.5 KiB

View	2116
Click	1082
Drop-off	613
Purchase	200

Length

Max length	8
Median length	4
Mean length	5.0805285
Min length	4

Characters and Unicode

Total characters	20378
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Drop-off
2nd row	Drop-off
3rd row	View
4th row	Drop-off
5th row	Click

Common Values

Value	Count	Frequency (%)
View	2116	18.4%
Click	1082	9.4%
Drop-off	613	5.3%
Purchase	200	1.7%
(Missing)	7479	65.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
view	2116	52.8%
click	1082	27.0%
drop-off	613	15.3%
purchase	200	5.0%

Most occurring characters

Value	Count	Frequency (%)
i	3198	15.7%
e	2316	11.4%
V	2116	10.4%
w	2116	10.4%
c	1282	6.3%
o	1226	6.0%
f	1226	6.0%
C	1082	5.3%
l	1082	5.3%
k	1082	5.3%
Other values (9)	3652	17.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20378	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	3198	15.7%
e	2316	11.4%
V	2116	10.4%
w	2116	10.4%
c	1282	6.3%
o	1226	6.0%
f	1226	6.0%
C	1082	5.3%
l	1082	5.3%
k	1082	5.3%
Other values (9)	3652	17.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20378	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	3198	15.7%
e	2316	11.4%
V	2116	10.4%
w	2116	10.4%
c	1282	6.3%
o	1226	6.0%
f	1226	6.0%
C	1082	5.3%
l	1082	5.3%
k	1082	5.3%
Other values (9)	3652	17.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20378	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	3198	15.7%
e	2316	11.4%
V	2116	10.4%
w	2116	10.4%
c	1282	6.3%
o	1226	6.0%
f	1226	6.0%
C	1082	5.3%
l	1082	5.3%
k	1082	5.3%
Other values (9)	3652	17.9%

Duration
Real number (ℝ)

Missing

Distinct	291
Distinct (%)	8.6%
Missing	8092
Missing (%)	70.4%
Infinite	0
Infinite (%)	0.0%
Mean	156.51324

Minimum	10
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	10
5-th percentile	23
Q1	86
median	157
Q3	228
95-th percentile	285
Maximum	300
Range	290
Interquartile range (IQR)	142

Descriptive statistics

Standard deviation	83.213779
Coefficient of variation (CV)	0.53167245
Kurtosis	-1.1793027
Mean	156.51324
Median Absolute Deviation (MAD)	71
Skewness	-0.04341425
Sum	531832
Variance	6924.5331
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
201	21	0.2%
23	20	0.2%
136	20	0.2%
56	20	0.2%
108	20	0.2%
217	19	0.2%
216	19	0.2%
255	19	0.2%
21	18	0.2%
69	18	0.2%
Other values (281)	3204	27.9%
(Missing)	8092	70.4%

Value	Count	Frequency (%)
10	15	0.1%
11	8	0.1%
12	8	0.1%
13	14	0.1%
14	12	0.1%
15	11	0.1%
16	14	0.1%
17	10	0.1%
18	12	0.1%
19	4	< 0.1%

Value	Count	Frequency (%)
300	8	0.1%
299	7	0.1%
298	10	0.1%
297	8	0.1%
296	12	0.1%
295	13	0.1%
294	11	0.1%
293	9	0.1%
292	12	0.1%
291	11	0.1%

CustomerName
Text

Missing

Distinct	100
Distinct (%)	100.0%
Missing	11390
Missing (%)	99.1%
Memory size	179.5 KiB

Length

Max length	17
Median length	15
Mean length	12.95
Min length	10

Characters and Unicode

Total characters	1295
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	100 ?
Unique (%)	100.0%

Sample

1st row	Emma Anderson
2nd row	Sarah Brown
3rd row	Robert Hernandez
4th row	David Garcia
5th row	Emma Miller

Value	Count	Frequency (%)
gonzalez	10	5.0%
emma	10	5.0%
hernandez	10	5.0%
rodriguez	9	4.5%
david	9	4.5%
olivia	9	4.5%
john	8	4.0%
james	8	4.0%
thomas	8	4.0%
jane	7	3.5%
Other values (22)	112	56.0%

Most occurring characters

Value	Count	Frequency (%)
a	138	10.7%
e	106	8.2%
i	102	7.9%
	100	7.7%
n	88	6.8%
o	80	6.2%
l	77	5.9%
r	64	4.9%
s	53	4.1%
m	51	3.9%
Other values (29)	436	33.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1295	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	138	10.7%
e	106	8.2%
i	102	7.9%
	100	7.7%
n	88	6.8%
o	80	6.2%
l	77	5.9%
r	64	4.9%
s	53	4.1%
m	51	3.9%
Other values (29)	436	33.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1295	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	138	10.7%
e	106	8.2%
i	102	7.9%
	100	7.7%
n	88	6.8%
o	80	6.2%
l	77	5.9%
r	64	4.9%
s	53	4.1%
m	51	3.9%
Other values (29)	436	33.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1295	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	138	10.7%
e	106	8.2%
i	102	7.9%
	100	7.7%
n	88	6.8%
o	80	6.2%
l	77	5.9%
r	64	4.9%
s	53	4.1%
m	51	3.9%
Other values (29)	436	33.7%

Email
Text

Missing

Distinct	100
Distinct (%)	100.0%
Missing	11390
Missing (%)	99.1%
Memory size	179.5 KiB

Length

Max length	29
Median length	27
Mean length	24.95
Min length	22

Characters and Unicode

Total characters	2495
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	100 ?
Unique (%)	100.0%

Sample

1st row	emma.anderson@example.com
2nd row	sarah.brown@example.com
3rd row	robert.hernandez@example.com
4th row	david.garcia@example.com
5th row	emma.miller@example.com

Value	Count	Frequency (%)
sarah.martinez@example.com	1	1.0%
michael.smith@example.com	1	1.0%
sarah.brown@example.com	1	1.0%
robert.hernandez@example.com	1	1.0%
david.garcia@example.com	1	1.0%
emma.miller@example.com	1	1.0%
daniel.rodriguez@example.com	1	1.0%
laura.miller@example.com	1	1.0%
james.gonzalez@example.com	1	1.0%
emily.thomas@example.com	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
e	323	12.9%
m	269	10.8%
a	248	9.9%
.	200	8.0%
l	190	7.6%
o	189	7.6%
c	117	4.7%
p	111	4.4%
i	106	4.2%
x	105	4.2%
Other values (15)	637	25.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2495	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	323	12.9%
m	269	10.8%
a	248	9.9%
.	200	8.0%
l	190	7.6%
o	189	7.6%
c	117	4.7%
p	111	4.4%
i	106	4.2%
x	105	4.2%
Other values (15)	637	25.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2495	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	323	12.9%
m	269	10.8%
a	248	9.9%
.	200	8.0%
l	190	7.6%
o	189	7.6%
c	117	4.7%
p	111	4.4%
i	106	4.2%
x	105	4.2%
Other values (15)	637	25.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2495	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	323	12.9%
m	269	10.8%
a	248	9.9%
.	200	8.0%
l	190	7.6%
o	189	7.6%
c	117	4.7%
p	111	4.4%
i	106	4.2%
x	105	4.2%
Other values (15)	637	25.5%

Gender
Categorical

Missing

Distinct	2
Distinct (%)	2.0%
Missing	11390
Missing (%)	99.1%
Memory size	179.5 KiB

Female	54
Male	46

Length

Max length	6
Median length	6
Mean length	5.08
Min length	4

Characters and Unicode

Total characters	508
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Female
4th row	Male
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	54	0.5%
Male	46	0.4%
(Missing)	11390	99.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	54	54.0%
male	46	46.0%

Most occurring characters

Value	Count	Frequency (%)
e	154	30.3%
a	100	19.7%
l	100	19.7%
F	54	10.6%
m	54	10.6%
M	46	9.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	508	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	154	30.3%
a	100	19.7%
l	100	19.7%
F	54	10.6%
m	54	10.6%
M	46	9.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	508	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	154	30.3%
a	100	19.7%
l	100	19.7%
F	54	10.6%
m	54	10.6%
M	46	9.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	508	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	154	30.3%
a	100	19.7%
l	100	19.7%
F	54	10.6%
m	54	10.6%
M	46	9.1%

Age
Real number (ℝ)

Missing

Distinct	45
Distinct (%)	45.0%
Missing	11390
Missing (%)	99.1%
Infinite	0
Infinite (%)	0.0%
Mean	41.99

Minimum	18
Maximum	69
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	18
5-th percentile	22
Q1	31
median	41
Q3	53
95-th percentile	67
Maximum	69
Range	51
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	14.259142
Coefficient of variation (CV)	0.33958423
Kurtosis	-1.0129934
Mean	41.99
Median Absolute Deviation (MAD)	12
Skewness	0.23025626
Sum	4199
Variance	203.32313
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
26	5	< 0.1%
41	5	< 0.1%
25	4	< 0.1%
31	4	< 0.1%
53	4	< 0.1%
43	4	< 0.1%
38	3	< 0.1%
34	3	< 0.1%
24	3	< 0.1%
48	3	< 0.1%
Other values (35)	62	0.5%
(Missing)	11390	99.1%

Value	Count	Frequency (%)
18	2	< 0.1%
19	1	< 0.1%
20	1	< 0.1%
22	3	< 0.1%
23	1	< 0.1%
24	3	< 0.1%
25	4	< 0.1%
26	5	< 0.1%
27	1	< 0.1%
28	1	< 0.1%

Value	Count	Frequency (%)
69	2	< 0.1%
68	1	< 0.1%
67	3	< 0.1%
66	1	< 0.1%
64	1	< 0.1%
63	3	< 0.1%
62	2	< 0.1%
61	1	< 0.1%
60	3	< 0.1%
59	1	< 0.1%

GeographyID
Real number (ℝ)

Missing

Distinct	10
Distinct (%)	9.1%
Missing	11380
Missing (%)	99.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.3363636

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.8163262
Coefficient of variation (CV)	0.52776129
Kurtosis	-1.0855717
Mean	5.3363636
Median Absolute Deviation (MAD)	2
Skewness	0.1306785
Sum	587
Variance	7.9316931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	19	0.2%
5	13	0.1%
2	12	0.1%
10	11	0.1%
1	11	0.1%
6	10	0.1%
7	10	0.1%
8	9	0.1%
9	9	0.1%
3	6	0.1%
(Missing)	11380	99.0%

Value	Count	Frequency (%)
1	11	0.1%
2	12	0.1%
3	6	0.1%
4	19	0.2%
5	13	0.1%
6	10	0.1%
7	10	0.1%
8	9	0.1%
9	9	0.1%
10	11	0.1%

Value	Count	Frequency (%)
10	11	0.1%
9	9	0.1%
8	9	0.1%
7	10	0.1%
6	10	0.1%
5	13	0.1%
4	19	0.2%
3	6	0.1%
2	12	0.1%
1	11	0.1%

ReviewID
Real number (ℝ)

Missing Uniform

Distinct	1363
Distinct (%)	50.0%
Missing	8764
Missing (%)	76.3%
Infinite	0
Infinite (%)	0.0%
Mean	682

Minimum	1
Maximum	1363
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	1
5-th percentile	69
Q1	341.25
median	682
Q3	1022.75
95-th percentile	1295
Maximum	1363
Range	1362
Interquartile range (IQR)	681.5

Descriptive statistics

Standard deviation	393.53629
Coefficient of variation (CV)	0.57703269
Kurtosis	-1.200001
Mean	682
Median Absolute Deviation (MAD)	341
Skewness	0
Sum	1859132
Variance	154870.81
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
907	2	< 0.1%
915	2	< 0.1%
914	2	< 0.1%
913	2	< 0.1%
912	2	< 0.1%
911	2	< 0.1%
910	2	< 0.1%
909	2	< 0.1%
908	2	< 0.1%
906	2	< 0.1%
Other values (1353)	2706	23.6%
(Missing)	8764	76.3%

Value	Count	Frequency (%)
1	2	< 0.1%
2	2	< 0.1%
3	2	< 0.1%
4	2	< 0.1%
5	2	< 0.1%
6	2	< 0.1%
7	2	< 0.1%
8	2	< 0.1%
9	2	< 0.1%
10	2	< 0.1%

Value	Count	Frequency (%)
1363	2	< 0.1%
1362	2	< 0.1%
1361	2	< 0.1%
1360	2	< 0.1%
1359	2	< 0.1%
1358	2	< 0.1%
1357	2	< 0.1%
1356	2	< 0.1%
1355	2	< 0.1%
1354	2	< 0.1%

ReviewDate
Date

Missing

Distinct	793
Distinct (%)	29.1%
Missing	8764
Missing (%)	76.3%
Memory size	179.5 KiB

Minimum	2023-01-01 00:00:00
Maximum	2025-12-31 00:00:00

Histogram with fixed size bins (bins=50)

Rating
Categorical

Missing

Distinct	5
Distinct (%)	0.2%
Missing	8764
Missing (%)	76.3%
Memory size	179.5 KiB

4.0	862
5.0	818
3.0	580
2.0	306
1.0	160

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	8178
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	5.0
3rd row	4.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
4.0	862	7.5%
5.0	818	7.1%
3.0	580	5.0%
2.0	306	2.7%
1.0	160	1.4%
(Missing)	8764	76.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	862	31.6%
5.0	818	30.0%
3.0	580	21.3%
2.0	306	11.2%
1.0	160	5.9%

Most occurring characters

Value	Count	Frequency (%)
.	2726	33.3%
0	2726	33.3%
4	862	10.5%
5	818	10.0%
3	580	7.1%
2	306	3.7%
1	160	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8178	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	2726	33.3%
0	2726	33.3%
4	862	10.5%
5	818	10.0%
3	580	7.1%
2	306	3.7%
1	160	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8178	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	2726	33.3%
0	2726	33.3%
4	862	10.5%
5	818	10.0%
3	580	7.1%
2	306	3.7%
1	160	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8178	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	2726	33.3%
0	2726	33.3%
4	862	10.5%
5	818	10.0%
3	580	7.1%
2	306	3.7%
1	160	2.0%

ReviewText
Text

Missing

Distinct	102
Distinct (%)	3.7%
Missing	8764
Missing (%)	76.3%
Memory size	179.5 KiB

Length

Max length	65
Median length	55
Mean length	38.768892
Min length	23

Characters and Unicode

Total characters	105684
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Average experience, nothing special.
2nd row	The quality is top-notch.
3rd row	Five stars for the quick delivery.
4th row	Good quality, but could be cheaper.
5th row	Average experience, nothing special.

Value	Count	Frequency (%)
the	1492	10.2%
product	658	4.5%
quality	598	4.1%
was	596	4.1%
is	500	3.4%
very	438	3.0%
but	390	2.7%
not	338	2.3%
for	280	1.9%
customer	246	1.7%
Other values (70)	9050	62.0%

Most occurring characters

Value	Count	Frequency (%)
	25100	23.8%
e	9218	8.7%
t	6548	6.2%
i	5318	5.0%
a	4778	4.5%
r	4658	4.4%
o	4582	4.3%
s	4004	3.8%
u	3720	3.5%
h	3546	3.4%
Other values (31)	34212	32.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	105684	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	25100	23.8%
e	9218	8.7%
t	6548	6.2%
i	5318	5.0%
a	4778	4.5%
r	4658	4.4%
o	4582	4.3%
s	4004	3.8%
u	3720	3.5%
h	3546	3.4%
Other values (31)	34212	32.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	105684	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	25100	23.8%
e	9218	8.7%
t	6548	6.2%
i	5318	5.0%
a	4778	4.5%
r	4658	4.4%
o	4582	4.3%
s	4004	3.8%
u	3720	3.5%
h	3546	3.4%
Other values (31)	34212	32.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	105684	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	25100	23.8%
e	9218	8.7%
t	6548	6.2%
i	5318	5.0%
a	4778	4.5%
r	4658	4.4%
o	4582	4.3%
s	4004	3.8%
u	3720	3.5%
h	3546	3.4%
Other values (31)	34212	32.4%

ProductName
Text

Missing

Distinct	20
Distinct (%)	100.0%
Missing	11470
Missing (%)	99.8%
Memory size	179.5 KiB

Length

Max length	15
Median length	13
Mean length	11.25
Min length	5

Characters and Unicode

Total characters	225
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	100.0%

Sample

1st row	Running Shoes
2nd row	Fitness Tracker
3rd row	Yoga Mat
4th row	Dumbbells
5th row	Soccer Ball

Value	Count	Frequency (%)
helmet	2	5.7%
ski	1	2.9%
soccer	1	2.9%
glove	1	2.9%
football	1	2.9%
basketball	1	2.9%
tennis	1	2.9%
racket	1	2.9%
ball	1	2.9%
shoes	1	2.9%
Other values (24)	24	68.6%

Most occurring characters

Value	Count	Frequency (%)
l	23	10.2%
e	21	9.3%
o	16	7.1%
a	15	6.7%
	15	6.7%
s	12	5.3%
i	10	4.4%
t	10	4.4%
n	9	4.0%
b	9	4.0%
Other values (28)	85	37.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	225	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	23	10.2%
e	21	9.3%
o	16	7.1%
a	15	6.7%
	15	6.7%
s	12	5.3%
i	10	4.4%
t	10	4.4%
n	9	4.0%
b	9	4.0%
Other values (28)	85	37.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	225	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	23	10.2%
e	21	9.3%
o	16	7.1%
a	15	6.7%
	15	6.7%
s	12	5.3%
i	10	4.4%
t	10	4.4%
n	9	4.0%
b	9	4.0%
Other values (28)	85	37.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	225	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	23	10.2%
e	21	9.3%
o	16	7.1%
a	15	6.7%
	15	6.7%
s	12	5.3%
i	10	4.4%
t	10	4.4%
n	9	4.0%
b	9	4.0%
Other values (28)	85	37.8%

Category
Categorical

Constant Missing

Distinct	1
Distinct (%)	5.0%
Missing	11470
Missing (%)	99.8%
Memory size	179.5 KiB

Sports	20

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	120
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sports
2nd row	Sports
3rd row	Sports
4th row	Sports
5th row	Sports

Common Values

Value	Count	Frequency (%)
Sports	20	0.2%
(Missing)	11470	99.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sports	20	100.0%

Most occurring characters

Value	Count	Frequency (%)
S	20	16.7%
p	20	16.7%
o	20	16.7%
r	20	16.7%
t	20	16.7%
s	20	16.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	120	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	20	16.7%
p	20	16.7%
o	20	16.7%
r	20	16.7%
t	20	16.7%
s	20	16.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	120	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	20	16.7%
p	20	16.7%
o	20	16.7%
r	20	16.7%
t	20	16.7%
s	20	16.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	120	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	20	16.7%
p	20	16.7%
o	20	16.7%
r	20	16.7%
t	20	16.7%
s	20	16.7%

Price
Real number (ℝ)

Missing

Distinct	20
Distinct (%)	100.0%
Missing	11470
Missing (%)	99.8%
Infinite	0
Infinite (%)	0.0%
Mean	205.4055

Minimum	26.21
Maximum	485.32
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	179.5 KiB

Quantile statistics

Minimum	26.21
5-th percentile	35.577
Q1	44.2625
median	210.215
Q3	288.4125
95-th percentile	472.97
Maximum	485.32
Range	459.11
Interquartile range (IQR)	244.15

Descriptive statistics

Standard deviation	149.46182
Coefficient of variation (CV)	0.72764271
Kurtosis	-0.85330248
Mean	205.4055
Median Absolute Deviation (MAD)	129.305
Skewness	0.42295537
Sum	4108.11
Variance	22338.834
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
340.2	1	< 0.1%
173.83	1	< 0.1%
42.8	1	< 0.1%
275.43	1	< 0.1%
259.4	1	< 0.1%
410.17	1	< 0.1%
472.32	1	< 0.1%
145.97	1	< 0.1%
37.56	1	< 0.1%
81.59	1	< 0.1%
Other values (10)	10	0.1%
(Missing)	11470	99.8%

Value	Count	Frequency (%)
26.21	1	< 0.1%
36.07	1	< 0.1%
37.56	1	< 0.1%
41.26	1	< 0.1%
42.8	1	< 0.1%
44.75	1	< 0.1%
81.59	1	< 0.1%
145.97	1	< 0.1%
173.83	1	< 0.1%
196.68	1	< 0.1%

Value	Count	Frequency (%)
485.32	1	< 0.1%
472.32	1	< 0.1%
410.17	1	< 0.1%
340.2	1	< 0.1%
327.36	1	< 0.1%
275.43	1	< 0.1%
262.32	1	< 0.1%
259.4	1	< 0.1%
225.12	1	< 0.1%
223.75	1	< 0.1%

SentimentScore
Real number (ℝ)

Missing Zeros

Distinct	15
Distinct (%)	1.1%
Missing	10127
Missing (%)	88.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.19265899

Minimum	-0.6288
Maximum	0.8016
Zeros	442
Zeros (%)	3.8%
Negative	335
Negative (%)	2.9%
Memory size	179.5 KiB

Quantile statistics

Minimum	-0.6288
5-th percentile	-0.3089
Q1	0
median	0
Q3	0.6696
95-th percentile	0.8016
Maximum	0.8016
Range	1.4304
Interquartile range (IQR)	0.6696

Descriptive statistics

Standard deviation	0.40310841
Coefficient of variation (CV)	2.0923416
Kurtosis	-1.2822935
Mean	0.19265899
Median Absolute Deviation (MAD)	0.2382
Skewness	0.25010414
Sum	262.5942
Variance	0.16249639
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0	442	3.8%
0.2382	122	1.1%
0.6997	114	1.0%
-0.1695	113	1.0%
0.8016	105	0.9%
0.6696	99	0.9%
-0.3089	91	0.8%
-0.2617	73	0.6%
0.5106	56	0.5%
0.7773	54	0.5%
Other values (5)	94	0.8%
(Missing)	10127	88.1%

Value	Count	Frequency (%)
-0.6288	9	0.1%
-0.5423	9	0.1%
-0.4767	31	0.3%
-0.3089	91	0.8%
-0.2617	73	0.6%
-0.2263	9	0.1%
-0.1695	113	1.0%
0	442	3.8%
0.2382	122	1.1%
0.5106	56	0.5%

Value	Count	Frequency (%)
0.8016	105	0.9%
0.7773	54	0.5%
0.7351	36	0.3%
0.6997	114	1.0%
0.6696	99	0.9%
0.5106	56	0.5%
0.2382	122	1.1%
0	442	3.8%
-0.1695	113	1.0%
-0.2263	9	0.1%

SentimentCategory
Categorical

Missing

Distinct	5
Distinct (%)	0.4%
Missing	10127
Missing (%)	88.1%
Memory size	179.5 KiB

Positive	840
Negative	226
Mixed Negative	196
Mixed Positive	86
Neutral	15

Length

Max length	14
Median length	8
Mean length	9.2303742
Min length	7

Characters and Unicode

Total characters	12581
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mixed Negative
2nd row	Positive
3rd row	Positive
4th row	Mixed Positive
5th row	Mixed Negative

Common Values

Value	Count	Frequency (%)
Positive	840	7.3%
Negative	226	2.0%
Mixed Negative	196	1.7%
Mixed Positive	86	0.7%
Neutral	15	0.1%
(Missing)	10127	88.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
positive	926	56.3%
negative	422	25.7%
mixed	282	17.1%
neutral	15	0.9%

Most occurring characters

Value	Count	Frequency (%)
i	2556	20.3%
e	2067	16.4%
t	1363	10.8%
v	1348	10.7%
P	926	7.4%
s	926	7.4%
o	926	7.4%
a	437	3.5%
N	437	3.5%
g	422	3.4%
Other values (7)	1173	9.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12581	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	2556	20.3%
e	2067	16.4%
t	1363	10.8%
v	1348	10.7%
P	926	7.4%
s	926	7.4%
o	926	7.4%
a	437	3.5%
N	437	3.5%
g	422	3.4%
Other values (7)	1173	9.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12581	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	2556	20.3%
e	2067	16.4%
t	1363	10.8%
v	1348	10.7%
P	926	7.4%
s	926	7.4%
o	926	7.4%
a	437	3.5%
N	437	3.5%
g	422	3.4%
Other values (7)	1173	9.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12581	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	2556	20.3%
e	2067	16.4%
t	1363	10.8%
v	1348	10.7%
P	926	7.4%
s	926	7.4%
o	926	7.4%
a	437	3.5%
N	437	3.5%
g	422	3.4%
Other values (7)	1173	9.3%

SentimentBucket
Categorical

Missing

Distinct	4
Distinct (%)	0.3%
Missing	10127
Missing (%)	88.1%
Memory size	179.5 KiB

0.0 to 0.49	564
0.5 to 1.0	464
-0.49 to 0.0	317
-1.0 to -0.5	18

Length

Max length	12
Median length	11
Mean length	10.905356
Min length	10

Characters and Unicode

Total characters	14864
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-0.49 to 0.0
2nd row	0.0 to 0.49
3rd row	0.0 to 0.49
4th row	0.0 to 0.49
5th row	-0.49 to 0.0

Common Values

Value	Count	Frequency (%)
0.0 to 0.49	564	4.9%
0.5 to 1.0	464	4.0%
-0.49 to 0.0	317	2.8%
-1.0 to -0.5	18	0.2%
(Missing)	10127	88.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
to	1363	33.3%
0.0	881	21.5%
0.49	881	21.5%
0.5	482	11.8%
1.0	482	11.8%

Most occurring characters

Value	Count	Frequency (%)
0	3607	24.3%
.	2726	18.3%
	2726	18.3%
t	1363	9.2%
o	1363	9.2%
4	881	5.9%
9	881	5.9%
5	482	3.2%
1	482	3.2%
-	353	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14864	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3607	24.3%
.	2726	18.3%
	2726	18.3%
t	1363	9.2%
o	1363	9.2%
4	881	5.9%
9	881	5.9%
5	482	3.2%
1	482	3.2%
-	353	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14864	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3607	24.3%
.	2726	18.3%
	2726	18.3%
t	1363	9.2%
o	1363	9.2%
4	881	5.9%
9	881	5.9%
5	482	3.2%
1	482	3.2%
-	353	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14864	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3607	24.3%
.	2726	18.3%
	2726	18.3%
t	1363	9.2%
o	1363	9.2%
4	881	5.9%
9	881	5.9%
5	482	3.2%
1	482	3.2%
-	353	2.4%

Country
Text

Missing

Distinct	10
Distinct (%)	100.0%
Missing	11480
Missing (%)	99.9%
Memory size	179.5 KiB

Length

Max length	11
Median length	6.5
Mean length	6.7
Min length	2

Characters and Unicode

Total characters	67
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	UK
2nd row	Germany
3rd row	France
4th row	Spain
5th row	Italy

Value	Count	Frequency (%)
uk	1	10.0%
germany	1	10.0%
france	1	10.0%
spain	1	10.0%
italy	1	10.0%
netherlands	1	10.0%
belgium	1	10.0%
sweden	1	10.0%
switzerland	1	10.0%
austria	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
e	8	11.9%
a	7	10.4%
n	6	9.0%
r	5	7.5%
i	4	6.0%
l	4	6.0%
t	4	6.0%
S	3	4.5%
d	3	4.5%
u	2	3.0%
Other values (17)	21	31.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	67	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	8	11.9%
a	7	10.4%
n	6	9.0%
r	5	7.5%
i	4	6.0%
l	4	6.0%
t	4	6.0%
S	3	4.5%
d	3	4.5%
u	2	3.0%
Other values (17)	21	31.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	67	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	8	11.9%
a	7	10.4%
n	6	9.0%
r	5	7.5%
i	4	6.0%
l	4	6.0%
t	4	6.0%
S	3	4.5%
d	3	4.5%
u	2	3.0%
Other values (17)	21	31.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	67	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	8	11.9%
a	7	10.4%
n	6	9.0%
r	5	7.5%
i	4	6.0%
l	4	6.0%
t	4	6.0%
S	3	4.5%
d	3	4.5%
u	2	3.0%
Other values (17)	21	31.3%

City
Text

Missing

Distinct	10
Distinct (%)	100.0%
Missing	11480
Missing (%)	99.9%
Memory size	179.5 KiB

Length

Max length	9
Median length	8.5
Mean length	6.5
Min length	4

Characters and Unicode

Total characters	65
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	London
2nd row	Berlin
3rd row	Paris
4th row	Madrid
5th row	Rome

Value	Count	Frequency (%)
london	1	10.0%
berlin	1	10.0%
paris	1	10.0%
madrid	1	10.0%
rome	1	10.0%
amsterdam	1	10.0%
brussels	1	10.0%
stockholm	1	10.0%
zurich	1	10.0%
vienna	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
r	6	9.2%
n	5	7.7%
e	5	7.7%
i	5	7.7%
s	5	7.7%
o	5	7.7%
d	4	6.2%
a	4	6.2%
m	4	6.2%
l	3	4.6%
Other values (14)	19	29.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	65	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	6	9.2%
n	5	7.7%
e	5	7.7%
i	5	7.7%
s	5	7.7%
o	5	7.7%
d	4	6.2%
a	4	6.2%
m	4	6.2%
l	3	4.6%
Other values (14)	19	29.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	65	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	6	9.2%
n	5	7.7%
e	5	7.7%
i	5	7.7%
s	5	7.7%
o	5	7.7%
d	4	6.2%
a	4	6.2%
m	4	6.2%
l	3	4.6%
Other values (14)	19	29.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	65	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	6	9.2%
n	5	7.7%
e	5	7.7%
i	5	7.7%
s	5	7.7%
o	5	7.7%
d	4	6.2%
a	4	6.2%
m	4	6.2%
l	3	4.6%
Other values (14)	19	29.2%

Interactions

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	EngagementID	ContentID	ContentType	Likes	EngagementDate	CampaignID	ProductID	ViewsClicksCombined	JourneyID	CustomerID	VisitDate	Stage	Action	Duration	CustomerName	Email	Gender	Age	GeographyID	ReviewID	ReviewDate	Rating	ReviewText	ProductName	Category	Price	SentimentScore	SentimentCategory	SentimentBucket	Country	City
0	1.0	39.0	Blog	190.0	2023-08-30	1.0	9.0	1883-671	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	2.0	48.0	Blog	114.0	2023-03-28	18.0	20.0	5280-532	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	3.0	16.0	video	32.0	2023-12-08	7.0	14.0	1905-204	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	4.0	43.0	Video	17.0	2025-01-21	19.0	20.0	2766-257	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	5.0	16.0	newsletter	306.0	2024-02-21	6.0	15.0	5116-1524	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	6.0	32.0	Socialmedia	648.0	2023-06-18	18.0	19.0	8237-1641	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	7.0	33.0	SOCIALMEDIA	1.0	2025-10-01	12.0	2.0	750-34	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	8.0	47.0	Blog	1.0	2025-03-31	17.0	6.0	891-35	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	9.0	48.0	blog	123.0	2024-03-19	13.0	16.0	5571-1527	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	10.0	4.0	Blog	25.0	2023-12-03	15.0	15.0	4279-297	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

	EngagementID	ContentID	ContentType	Likes	EngagementDate	CampaignID	ProductID	ViewsClicksCombined	JourneyID	CustomerID	VisitDate	Stage	Action	Duration	CustomerName	Email	Gender	Age	GeographyID	ReviewID	ReviewDate	Rating	ReviewText	ProductName	Category	Price	SentimentScore	SentimentCategory	SentimentBucket	Country	City
0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	UK	London
1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Germany	Berlin
2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	France	Paris
3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Spain	Madrid
4	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	5.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Italy	Rome
5	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	6.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Netherlands	Amsterdam
6	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Belgium	Brussels
7	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	8.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Sweden	Stockholm
8	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	9.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Switzerland	Zurich
9	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	10.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Austria	Vienna

Duplicate rows

Most frequently occurring

	EngagementID	ContentID	ContentType	Likes	EngagementDate	CampaignID	ProductID	ViewsClicksCombined	JourneyID	CustomerID	VisitDate	Stage	Action	Duration	CustomerName	Email	Gender	Age	GeographyID	ReviewID	ReviewDate	Rating	ReviewText	ProductName	Category	Price	SentimentScore	SentimentCategory	SentimentBucket	Country	City	# duplicates
0	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	23.0	58.0	2023-07-05	Homepage	View	48.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2
1	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	3643.0	32.0	2025-10-12	ProductPage	Click	205.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2
2	NaN	NaN	NaN	NaN	NaN	NaN	3.0	NaN	2501.0	79.0	2023-08-14	ProductPage	View	146.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2
3	NaN	NaN	NaN	NaN	NaN	NaN	3.0	NaN	2759.0	81.0	2024-08-23	Homepage	View	288.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2
4	NaN	NaN	NaN	NaN	NaN	NaN	3.0	NaN	2837.0	75.0	2023-06-13	ProductPage	View	195.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2
5	NaN	NaN	NaN	NaN	NaN	NaN	3.0	NaN	2935.0	99.0	2023-04-05	Homepage	Click	82.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2
6	NaN	NaN	NaN	NaN	NaN	NaN	3.0	NaN	3576.0	97.0	2024-10-30	ProductPage	View	178.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2
7	NaN	NaN	NaN	NaN	NaN	NaN	3.0	NaN	3779.0	70.0	2023-11-11	ProductPage	Click	108.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2
8	NaN	NaN	NaN	NaN	NaN	NaN	4.0	NaN	1931.0	26.0	2023-07-22	Homepage	View	133.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2
9	NaN	NaN	NaN	NaN	NaN	NaN	4.0	NaN	2773.0	23.0	2025-08-15	ProductPage	View	79.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)